res = minimize(func, x0=1.0) print(res.x) import numpy as np from scipy.interpolate import interp1d
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x = np.linspace(0, 10, 11) y = np.sin(x) res = minimize(func, x0=1
def func(x): return x**2 + 10*np.sin(x)
Are you looking for a reliable and efficient way to perform numerical computations in Python? Look no further than "Numerical Recipes in Python". This comprehensive guide provides a wide range of numerical algorithms and techniques, along with their Python implementations. res = minimize(func